摘要
提出一种基于最优潮流、计及SVC影响,同时考虑经济效益和环境效益的电力系统多目标交易计划模型.首先对各单目标确定性模型求解,得到目标函数值,其次对目标值进行一定程度的伸缩,并定义目标隶属度函数,将确定性问题模糊化.接着采用最大满意度法将多目标问题转化为单目标问题,然后采用非线性规划方法求解,得到新的潮流结果.仿真结果验证了算法的有效性.
The paper proposes a multi-objective trade planning model for power system with SVC, which considers both pool purchase cost and environmental protection under power system static security constraints. Firstly, two single-objective-deterministic-models are solved, and the corresponding objective function value is obtained. Secondly, each objective function is fuzzed with objective membership function defining. Then multi-objective programming problem is reformulated into nonlinear single objective programming problem by the means of fuzzy satisfaction-maximizing. Finally, nonlinear programming algorithm is used to solve the single objective optimization, and a new power flow result is obtained. Simulation results show that the algorithm is with high efficiency.
出处
《电力科学与技术学报》
CAS
2007年第4期6-10,共5页
Journal of Electric Power Science And Technology
基金
湖南省教育厅优秀青年项目(06B007)
清华大学电力系统及发电设备安全与仿真控制国家重点实验室开放基金资助项目(GZH(2006)01)